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| Criterion | ![]() Product Strategy DIBB | ![]() Product Discovery Assumption Mapping | ![]() Product Discovery Hypothesis Prioritization Canvas |
|---|---|---|---|
Purposedifferent | DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | When many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. |
Complexitydifferent | Low | Medium | Medium |
Timedifferent | 1-2 h | 45-60 min | 60-90 min |
Participantsdifferent | 2-8 | 2-8 | 3-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | Assumption map, Test backlog, Risk ranking | Prioritization Canvas, Hypothesis Backlog |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | AssumptionsRiskExperimentsValidation | ExperimentsPrioritizationDiscoveryHypothesis |
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